This study utilizes the dynamic factor model of Giannone et al. (2008) in order to make now-/forecasts of GDP quarter … Swiss GDP. We find that the factor model offers a substantial improvement in forecast accuracy of GDP growth rates compared … accuracy is achieved when GDP nowcasts for an actual quarter are made about three months ahead of the official data release. We …

This study utilizes the dynamic factor model of Giannone et al. (2008) in order to make now-/forecasts of GDP quarter … Swiss GDP. We find that the factor model offers a substantial improvement in forecast accuracy of GDP growth rates compared … accuracy is achieved when GDP nowcasts for an actual quarter are made about three months ahead of the official data release. We …

Nowcasting has been a challenge in the recent economic crisis. We introduce the Toll Index, a new monthly indicator for …

We analyze the performance of a broad range of nowcasting and short-term forecasting models for a representative set of … indicators that come from a comparable set of identical data. We show that nowcasting works well for the new EU countries because …, although that variability in their GDP growth data is larger than that of the old EU economies, the economic significance of …

nowcasting and forecasting quarterly world GDP using mixed-frequency models. We find that a recently proposed indicator that …

Factor models feature prominently in the macroeconomic nowcasting literature, yet no clear consensus has emerged … factor models in real-time for US and German GDP point and density nowcasts. We find that sparse priors lead to relatively …

quarterly real GDP (RGDP) using several mixed-frequency models. These include a mixed dynamic factor model, unrestricted mixed … of GDP (manufacturing, non-manufacturing, and services) using a set of available monthly indicators by sector …. Furthermore, mixed-frequency dynamic factor models and unrestricted MIDAS perform well in terms of root mean squared errors …

nowcasting performance compared to an autoregressive model. Moreover, we find that the adoption of machine learning techniques … improves substantially the accuracy of our predictions in comparison to standard linear mod-els. While the average nowcasting …

crisis times. The main target variable is quarterly real GDP (RGDP) and we have collected a large and varied set of monthly … indicators as predictors. We use several mixed frequency models, such as unrestricted autoregressive MIDAS (UMIDAS-AR), three …